Public Assisted Households

The HCAT Public Assisted Households indicator calculates the proportion of neighborhood households that rely on Supplemental Security Income (SSI), cash public assistance, and/or Food stamps/ Supplemental Nutrition Assistance Program (SNAP) benefits to support their income. Income is one of the strongest and most consistent predictors of health and disease in public health research. Studies show that households not earning a self-sufficiency wage may be subject to increases in premature death from all causes for working adults, lower educational outcomes, and higher risks of early childbirth. Self-sufficiency is determined as having an income high enough to meet basic needs (including taxes) without public subsidies such as public housing, food stamps, Medicaid or child care) or private/informal assistance (e.g., free babysitting by a relative or friend, food provided by churches or local food banks, or shared housing). The higher the number of neighborhood households dependent on public assistance, the lower the likelihood household incomes reach a self-sufficient standard (for more information about Self-Sufficient Standards, please go to the Center for Women’s Welfare . Center for Women’s Welfare). Although posted under the Employment Opportunities domain, the Public Assisted Households indicator is also strongly tied to education, economic health, neighborhood characteristics, and housing.

Neighborhoodsort ascending Indicator Value Rank
Windom Park 25.3% 51
Windom 10.8% 27
Willard - Hay 55.3% 75
Whittier 27.3% 54
West Calhoun 11.0% 29
Wenonah 19.4% 44
Webber - Camden 68.4% 78
Waite Park 8.8% 21
Victory 31.2% 58
Ventura Village 76.2% 81
University of Minnesota 21.1% 46
Tangletown 9.5% 25
Sumner - Glenwood (Heritage Park) 83.4% 85
Steven's Square - Loring Heights 41.3% 71
Standish 21.7% 47
St. Anthony West 22.0% 48
St. Anthony East 40.6% 69
Shingle Creek 38.3% 65
Sheridan 22.9% 49
Seward 46.7% 72
Regina 17.8% 41
Prospect Park - East River Road 16.7% 40
Powderhorn Park 32.2% 60
Phillips West 83.4% 85
Page 1.6% 5
Northrop 12.4% 33
Northeast Park 27.8% 55
North Loop 2.8% 6
Nicollet Island - East Bank 9.0% 23
Near - North 78.1% 83
Morris Park 17.8% 41
Minnehaha 4.7% 12
Midtown Phillips 41.0% 70
Mid - City Industrial 12.3% 31
McKinley 59.7% 76
Marshall Terrace 25.0% 50
Marcy Holmes 13.0% 35
Lynnhurst 8.3% 20
Lyndale 50.9% 73
Lowry Hill East 14.0% 37
Lowry Hill 5.8% 15
Loring Park 31.4% 59
Longfellow 25.6% 53
Logan Park 40.0% 68
Linden Hills 6.8% 18
Lind - Bohanon 33.9% 64
King Field 13.1% 36
Kenwood 0.7% 3
Kenny 4.4% 10
Keewaydin 10.9% 28
Jordan 80.9% 84
Humboldt Industrial Area 0.0% 1
Howe 16.4% 39
Holland 32.4% 61
Hiawatha 8.8% 21
Hawthorne 100.0% 87
Harrison 74.1% 80
Hale 6.4% 17
Fulton 5.3% 13
Folwell 59.7% 76
Field 9.0% 23
Ericsson 14.0% 37
Elliot Park 52.1% 74
East Phillips 76.9% 82
East Isles 3.0% 7
East Harriet 6.0% 16
East Calhoun (ECCO) 4.3% 9
Downtown West 19.7% 45
Downtown East 12.9% 34
Diamond Lake 7.3% 19
Corcoran 33.2% 63
Cooper 10.0% 26
Como 12.3% 31
Columbia Park 17.9% 43
Cleveland 27.9% 57
Central 39.0% 67
Cedar Riverside 69.4% 79
Cedar - Isles - Dean 0.7% 3
Camden Industrial 0.0% 1
Calhoun Area Residents Action Group (CARAG) 5.5% 14
Bryn - Mawr 3.0% 7
Bryant 38.6% 66
Bottineau 32.6% 62
Beltrami 27.8% 55
Bancroft 25.4% 52
Audubon Park 11.8% 30
Armatage 4.4% 10

Key Citations: 1. Braveman, Paula, et al. “Issue Brief #4 Exploring the Social Determinants of Health – April 2011; Income, Wealth and Health” (2011). Robert Wood Johnson Foundation.

 

2. Bhatia, Rajiv and Mitchell Katz. “Estimation of Health Benefits from a Local Living Wage Ordinance” (2001). American Journal of Public Health.

 

3. Pickett, K.E. and M. Pearl. “Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review” (2001). Journal of Epidemiology and Community Health.

 

4. Pollack, C.E., et al. “Should Health Studies Measure Wealth?” (2007). American Journal of Preventive Medicine.

 

5. Subramanian, S.V. and Ichiro Kawachi. “Income Inequality and Health: What Have We Learned So Far?” (2004). Epidemiologic Reviews, Johns Hopkins Bloomberg School of Public Health.